An Economic Analysis of Fresh Fruit and Vegetable Consumption: Implications for Overweight and Obesity among Higher- and Lower-Income Consumers



Table 1. Price and Quantity Comparisons across Stores

Store Type

______HIGH INCOME STORES________

______LOW INCOME STORES_______

Differences

Variable

Mean

Mean

Mean

Mean

Mean    Mean

Mean

Mean

AVG

Store 1

Store 2

Store 3

AVG

Store 4    Store 5

Store 6

AVG

DIFF

Z-tests

Price

Citrus______________

0.080

0.080

0.084

0.081

0.070

0.068

0.067

0.069

0.013

7.698

Apples____________

0.076

0.074

0.071

0.074

0.065

0.062

0.063

0.063

0.010

10.309

Berries_____________

0.210

0.211

0.216

0.212

0.181

0.170

0.187

0.179

0.033

5.348

Soft Fruit___________

0.109

0.103

0.103

0.105

0.099

0.092

0.106

0.099

0.006

3.076

Bananas__________

0.031

0.029

0.032

0.030

0.035

0.034

0.035

0.034

-0.004

-8.466

Melons___________

0.065

0.060

0.058

0.061

0.055

0.048

0.057

0.053

0.007

3.547

Grapes___________

0.106

0.102

0.107

0.105

0.098

0.105

0.098

0.100

0.005

1.306

Fresh-cut Fruit

0.203

0.206

0.221

0.210

0.192

0.145

0.153

0.163

0.047

14.416

Greens___________

0.102

0.095

0.147

0.115

0.061

0.058

0.065

0.061

0.053

23.798

Fresh-cut Salads

0.253

0.196

0.221

0.223

0.170

0.165

0.161

0.165

0.058

24.339

Salad Veggies______

0.099

0.094

0.090

0.094

0.083

0.082

0.084

0.083

0.011

15.146

Major Veggies_____

0.113

0.094

0.095

0.101

0.074

0.069

0.069

0.070

0.030

19.412

Chinese Veggies

0.178

0.186

0.191

0.185

0.116

0.121

0.124

0.120

0.065

32.796

Yellow Veggies_____

0.082

0.080

0.082

0.082

0.085

0.081

0.082

0.083

-0.001

-0.520

Quantity____________

Citrus______________

42275.9

31946.9

36086.8

36769.8

39225.3

30761.1

26164.4

32050.3

4719.6

1.819

Apples____________

58049.0

38826.2

50003.4

48959.5

43453.9

29520.6

24497.6

32490.7

16468.8

5.823

Berries_____________

24284.6

13590.1

20098.3

19324.4

10477.3

5521.9

7114.8

7704.7

11619.7

7.906

Soft Fruit___________

38846.0

23216.1

30914.3

30992.1

17607.0

17035.2

13283.5

15975.2

15016.9

6.245

Bananas__________

93125.6

78883.0

89489.4

87166.0

72522.9

58498.7

54061.8

61694.5

25471.5

13.013

Melons___________

42105.7

32970.8

43800.8

39625.8

49465.6

45060.7

33780.0

42768.8

-3143.0

-0.577

Grapes___________

29354.9

26121.4

30291.9

28589.4

22901.8

20288.7

16240.5

19810.3

8779.1

4.331

Fresh-cut Fruit

2413.9

1062.6

1128.9

1535.2

782.8

102.1

415.6

433.5

1101.7

18.196

Greens___________

8569.3

6686.8

7391.1

7549.0

14385.3

24467.0

11345.7

16732.6

-9183.6

-13.755

Fresh-cut Salads

18456.2

18483.3

22946.6

19962.1

18212.2

12031.0

15721.3

15321.5

4640.6

11.011

Salad Veggies______

85998.9

64633.4

90866.0

80499.4

73230.6

47687.4

52508.4

57808.8

22690.6

12.041

Major Veggies______

122162.0

112909.4

152485.8

129185.7

213055.3

152839.3

169005.0

178299.8

-49114.1

-6.560

Chinese Veggies

63947.0

29040.5

39290.7

44092.7

37672.9

35618.4

31470.6

34920.6

9172.1

4.324

Yellow Veggies_____

5993.9

2457.7

3511.1

3987.6

1232.0

601.7

920.2

918.0

3069.6

15.369



More intriguing information

1. MULTIPLE COMPARISONS WITH THE BEST: BAYESIAN PRECISION MEASURES OF EFFICIENCY RANKINGS
2. THE CHANGING STRUCTURE OF AGRICULTURE
3. Anti Microbial Resistance Profile of E. coli isolates From Tropical Free Range Chickens
4. Yield curve analysis
5. Self-Help Groups and Income Generation in the Informal Settlements of Nairobi
6. The name is absent
7. INTERPERSONAL RELATIONS AND GROUP PROCESSES
8. Global Excess Liquidity and House Prices - A VAR Analysis for OECD Countries
9. The name is absent
10. The name is absent